#GAME OF LIFE PYTHON NUMPY UPDATE#
#GAME OF LIFE PYTHON NUMPY CODE#

If you can just attempt to answer it, I would appreciate it very much. Please bear this because I know I am probably violating some rules.

#GAME OF LIFE PYTHON NUMPY CODE#

I showed you this code because I have a question right now. # load_design('square.in', create_blank_grid()) # this file has this: Here is most of my own code: living_cell = 'O' I already have the following code and questions: If anyone could implement this for me I would be very, very grateful. Return: the number of living neighbors of the cell Return: whether the cell is alive or not (True or False)įunction 6: determine the number of living neighbors of a cell Return: a new grid advanced by one generationįunction 5: advance a cell one generation Here are the rules: Wikipedia Linkįirst, I have separated the game into six (6) functions to organize my code and make it easier for me to implement.įunction 4: advance a grid one generation Can anyone help me implement Conway’s Game of Life in Python? Just to clarify, this is homework, although I believe I am not violating the rules because I am not asking for answers, just help on certain sections. Survive = status * survive_underpopulation * survive_overpopulation Survive_overpopulation = live_neighbors < = 3 Return FuncAnimation(fig, update, * *animation_kwargs)ĭef get_init_status(size, initial_prob_life): Status, live_neigbors = apply_conways_game_of_life_rules(status)Ĭolors = get_updated_colors(status, live_neigbors)Īnimation_kwargs = if animation_kwargs is None else animation_kwargs

transAxes, ha = ' left ', va = ' bottom ', color = ' dodgerblue ',įontsize = 25, family = ' sans-serif ', fontweight = ' bold ') text( 0.5, 0.965, ' GAME OF LIFE ', transform =axes.

transAxes, ha = ' right ', va = ' bottom ', color = ' w ', fontsize = 25,įamily = ' sans-serif ', fontweight = ' light ')Īxes. scatter( *board, animated =True, s =marker_size, edgecolor =None)Īxes. Status = get_init_status(size, initial_prob_life)įig, axes = plt. ''' Implementation of Conway ' s Game of Life Parameters - size: tuple Defines the size of the board (n by m) initial_prob_life: float Float in the range (0, 1] defines the initial probability of a square containing life at initialisation animation_kwargs: dict Dictionary of keyword arguments to be passed to FuncAnimation marker_size: Size of scatter plot markers Returns - Instance of FuncAnimation ''' Coloured squares/cells depending on the the number of neighboursĭef play_game(size =( 50, 50), initial_prob_life = 0.5, animation_kwargs =None, marker_size = 300):.

#GAME OF LIFE PYTHON NUMPY UPDATE#

Update the color and transparency of the scatter markers:.Apply Conway’s rules to generate the new state.Calculate the number of neighbours using convolution - very fast.apply conways rules based on the current system state:.Update the board using matplotlibs FuncAnimation tool, by passing an update function.

Plot the board using matplotlibs scatter plot.

Instantiate the board at random using numpy’s random() function and specifying an initial probability of life (1 - all cells alive, 0 - no live cells).

Represent the status “live” or “dead” of each “square” on the board as True and False.

Represent the “board” in our game using a numpy array, which can be constructed using numpy’s meshgrid function.

We can pass the “wrap” option to scipy’s 2D convolution tool to facilitate this. Represented in 3D space this shape would be toroid specifically a torus.

A most sophisticated solution is to wrap the universe edges in a circular fashion. When calculating the number of neighbours we have a few options when we reach the edge of the universe, the most simplistic implementation is that the game “universe” has distinct edges. Any dead cell with exactly three live neighbors becomes a live cell, as if by reproduction.Ī single cell has a total of 8 neighbouring cells i.e.Any live cell with more than three live neighbors dies, as if by overpopulation.Any live cell with two or three live neighbors lives on to the next generation.Any live cell with fewer than two live neighbors dies, as if by underpopulation.From matplotlib.animation import FuncAnimation

Game of life python numpy